SVM classifier for speaker independent train-val-test sets
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Updated
Oct 29, 2022 - Jupyter Notebook
SVM classifier for speaker independent train-val-test sets
A machine learning project that aims to classify various emotional states of a human based on audio recordings using the CREMA-D dataset
Emotion Recognition from Audio (ERA) is an innovative project that classifies human emotions from speech using advanced machine learning techniques.
An attempt at the speech emotion recognition (SER) task on the CREMA-D dataset using TensorFlow 1D & 2D RCNN models.
A project to classify emotions like happiness, sadness, and anger from speech using MFCCs, machine learning models, and visualizations for audio features and model performance.
Emotion and Voice Detection using Machine Learning Python Project. This Project about to detect human Voice and Facial emotion
👩🏿💻IIIT Hyderabad Reasearch Teaser Programme : We developed a robust emotion😃 recognition system utilizing machine learning techniques on the 🗣️CREMA-D dataset to classify various emotions expressed in audio recordings🎙️ accurately.
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